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Regression Models for a Continuous Outcome Subject to Pooling
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Statistical Performance of Spatial Systems
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Robust Statistical Methods for Handling Missing Data
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New Statistical Techniques for High-dimensional Neuroimaging Data
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Possible benefits of the "logistic flip" in discerning between
two logistic regression models
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Centralization in Small Graphs
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Statistical Approaches for Exploring Brain Connectivity with Multimodal Neuroimaging Data
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Assessing Observer Agreement for Categorical Observations
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Composite Conditional Likelihood
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Quantile Regression for Complex Censored Data
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